Evidence map›Paper›PMID 28161319›Full record

ReviewMagnetic resonance imaging2017

Biophysical and neural basis of resting state functional connectivity: Evidence from non-human primates.

Li Min Chen, Pai-Feng Yang, Feng Wang, Arabinda Mishra, Zhaoyue Shi, Ruiqi Wu, Tung-Lin Wu, George H Wilson, Zhaohua Ding, John C Gore

Abstract readReview
In one paragraph

Review in Magnetic resonance imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Mapping alterations in the local synchrony of the cerebral cortex in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  4. Article
  5. Review
  6. Layer-dependent functional connectivity methods.Progress in neurobiology · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Discrete Modules and Mesoscale Functional Circuits for Thermal Nociception within Primate S1 Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Li Min ChenVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Electronic address: limin.chen@vanderbilt.edu.
Pai-Feng YangVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Feng WangVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Arabinda MishraVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Zhaoyue ShiVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA.
Ruiqi WuVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Tung-Lin WuVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA.
George H WilsonVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Zhaohua DingVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37232, USA.
John C GoreVanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA. Electronic address: john.gore@vanderbilt.edu.
Vanderbilt University · US

Funding

Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Resting State Connectivity in Primate Spinal CordR01NS092961 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, LI MIN, GORE, JOHN C · 2016 to 2025
$5.3M
Resting State Connectivity in White MatterR01NS093669 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2020
$2.7M
Representation of Nociception in SII and Thalamus of PrimatesR01NS069909 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, LI MIN · 2012 to 2016
$1.7M
NICHD NIH HHS U54 HD083211NINDS NIH HHS R01 NS069909NINDS NIH HHS R01 NS078680NINDS NIH HHS R01 NS092961NINDS NIH HHS R01 NS093669
6 · The paper itself

Abstract

Functional MRI (fMRI) has evolved from simple observations of regional changes in MRI signals caused by cortical activity induced by a task or stimulus, to task-free acquisitions of images in a resting state. Such resting state signals contain low frequency fluctuations which may be correlated between voxels, and strongly correlated regions are deemed to reflect functional connectivity within synchronized circuits. Resting state functional connectivity (rsFC) measures have been widely adopted by the neuroscience community, and are being used and interpreted as indicators of intrinsic neural circuits and their functional states in a broad range of applications, both basic and clinical. However, there has been relatively little work reported that validates whether inter-regional correlations in resting state fluctuations of fMRI (rsfMRI) signals actually measure functional connectivity between brain regions, or to establish how MRI data correlate with other metrics of functional connectivity. In this mini-review, we summarize recent studies of rsFC within mesoscopic scale cortical networks (100μm-10mm) within a well defined functional region of primary somatosensory cortex (S1), as well as spinal cord and brain white matter in non-human primates, in which we have measured spatial patterns of resting state correlations and validated their interpretation with electrophysiological signals and anatomic connections. Moreover, we emphasize that low frequency correlations are a general feature of neural systems, as evidenced by their presence in the spinal cord as well as white matter. These studies demonstrate the valuable role of high field MRI and invasive measurements in an animal model to inform the interpretation of human imaging studies.

Indexed as

AnimalsAnisotropyBrainBrain MappingElectrophysiological PhenomenaHaplorhiniImage Processing, Computer-AssistedMagnetic Resonance ImagingModels, AnimalNeural PathwaysNeuronsPrimatesWhite MatterCortexfMRIMonkeyNeuroimagingResting stateSpinal cordWhite matter

Identifiers

PMID28161319
PMCPMC5410395
OpenAlexW2585946297

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.